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Hands-on Director owning Waters Corporation's Enterprise Data Platform end to end — architecting and building Databricks Lakehouse, Power BI semantic layers, and SAP integrations with Terraform IaC, while leading a direct platform engineering team and a matrixed GCC team.
Job Title: AI Software Engineer Location: Cambridge, ON | On-site Job Type: Full-Time Compensation: $130,000 - $155,000 Benefits: RRSP, health/dental/vision package, reimbursement for tuition and professional dues,…
Build and improve LLM-based and RAG solutions for aviation-focused chatbots and conversational AI, working with embeddings, vector search, and prompt engineering.
Role\: Gen AI & Agentic AI Architect Location \: Pan India Experience \: 6 to 15 Years Notice Period \: Immediate to 90 days Mode of Interview \: In Person Gen AI & Agentic AI Architect About The Role\: We are…
Staff DB SRE building and operating large-scale database infrastructure (MySQL, MSSQL, Oracle, vector/graph DBs) for NVIDIA's enterprise AI platforms, with a focus on automation, high availability, and CI/CD-integrated database lifecycle management using Python, Go, and Kubernetes.
Design, develop, and deploy GenAI and agentic workflows across the HR hire-to-retire lifecycle at Revvity, building full-stack applications that integrate LLMs and RAG pipelines with enterprise HR systems like Workday.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Build full-stack healthcare apps with Angular frontends and Node.js backends, integrating MongoDB, Elasticsearch, and Milvus for data pipelines and AI features.
Senior AI & Full-Stack Engineer leading development and production deployment of AI/ML capabilities (LLMs, RAG, credit/fraud models) and full-stack features on a Singapore SME financing marketplace, using Python, SQL, and cloud platforms.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company…
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, while occasionally contributing to React/Next.js frontend tasks.
Build and deploy cloud-native Generative AI applications on Azure using Python/.NET backend and React/Next.js frontend, focusing on LLMs, RAG, and agent-based architectures.
Builds secure, scalable government systems using React, Node.js, and AWS, integrating search and generative AI for nationwide digital transformation.
The Senior Data Scientist will design and deploy end-to-end decision science systems, including forecasting, recommendation engines, and optimization models, within a hybrid-remote environment in Toronto. The role involves working with Python, PyTorch, and TensorFlow to build production-grade data products for the lottery and gaming industry.
Build and deploy AI-powered document processing pipelines for biotech customers, integrating systems like MES/LIMS and configuring LLM workflows on AWS while navigating enterprise security and compliance.
AI Engineer designing and productionizing enterprise-grade AI/ML and Generative AI solutions on Snowflake (Cortex), using Python, SQL, and Azure in a 1-year hybrid contract in Toronto.
Position Summary We are seeking an Intermediate Fullstack AI Platform Engineer to help build production AI agents and agent-backed workflows on AWS. This is a hands‑on engineering role for someone who has built real…
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